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Gpu Engineer Jobs in Raleigh, NC (NOW HIRING)

Nvidia

Senior VLSI CAD Software Engineer

Durham, NC

$118K - $156K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... NVIDIA is seeking a talented Software Engineer to join our small team building custom, high-impact ...

AGBO

Rendering Engineer

Raleigh, NC · On-site

$136K - $168K/yr

... GPU and CPU rendering performance, identifying bottlenecks and driving solutions that maintain high frame rates without sacrificing visual quality • Contribute to engine-level tooling and editor ...

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows ... Experience with GPU-based systems or running AI models in HPC environments. * Experience writing ...

NetApp

Principal Engineer, AI BU

Morrisville, NC · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Job Summary As a Principal Engineer in NetApp's AI BU, you are a senior technical authority ... Hands-on experience with GPU workloads and accelerated computing infrastructure. Compensation: The ...

Socket.dev

Principal Engineer, AI BU

Durham, NC · On-site

$196 - $293/hr

  • Medical

  • Life

  • Retirement

  • PTO

Job Summary As a Principal Engineer in NetApp's AI BU, you are a senior technical authority ... Hands-on experience with GPU workloads and accelerated computing infrastructure. Compensation: The ...

Actalent

Controls Engineer

Holly Springs, NC

$39.42 - $50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The engineer works closely with internal teams and clients to deliver state-of-the-art control ... Monitor and maintain power monitoring systems that support GPU-intensive environments, helping ...

Actalent

Controls Engineer

Holly Springs, NC

$39.42 - $50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The engineer works closely with internal teams and clients to deliver state-of-the-art control ... Monitor and maintain power monitoring systems that support GPU-intensive environments, helping ...

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Gpu Engineer information

See Raleigh, NC salary details

$37.9K

$98.9K

$133.7K

How much do gpu engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for gpu engineer in Raleigh, NC is $98,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $113,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a GPU engineer?

To thrive as a GPU Engineer, you need strong knowledge of computer architecture, proficiency in C/C++, and experience with parallel programming models such as CUDA or OpenCL, along with a degree in computer science, electrical engineering, or a related field. Familiarity with debugging tools, driver development, performance profiling utilities, and hardware simulation platforms is typically required. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills help distinguish top candidates. These skills ensure that GPU Engineers can develop high-performance solutions, efficiently troubleshoot hardware and software issues, and collaborate successfully in multidisciplinary environments.

What does a GPU engineer do?

A GPU Engineer designs, develops, and optimizes graphics processing units (GPUs) for applications like gaming, artificial intelligence, and high-performance computing. They work on hardware architecture, driver development, and parallel computing optimizations to maximize performance. GPU Engineers collaborate with software developers, hardware designers, and researchers to improve graphics rendering, machine learning acceleration, and computational efficiency.

What are some common challenges faced by GPU engineers, and how are they addressed?

GPU Engineers often face challenges such as optimizing code for maximum parallel efficiency, debugging complex hardware-software interactions, and keeping pace with rapidly evolving GPU architectures. Addressing these issues typically requires a combination of deep architectural understanding, use of specialized profiling and debugging tools, and ongoing collaboration with hardware, software, and QA teams. Many companies provide ongoing training and encourage knowledge sharing within engineering teams to help individuals stay current and effectively tackle new technical hurdles. Overcoming these challenges not only sharpens technical expertise but also opens doors for career growth into architect, team lead, or principal engineer roles.

What are popular job titles related to Gpu Engineer jobs in Raleigh, NC?

For Gpu Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Gpu Engineer jobs in Raleigh, NC look for?

The top searched job categories for Gpu Engineer jobs in Raleigh, NC are:

Gpu Engineer jobs near you
Infographic showing various Gpu Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $98,911 per year, or $47.6 per hour.

Senior System Software Engineer - Performance

Nvidia

Durham, NC

Full-time

Re-posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our tightly coupled CPU, GPU and DPU technology acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!

NVIDIA is searching for a highly motivated, technical engineer to join the Tegra system-on-chip (SoC) software organization. You will work on key aspects of our ARM SW ecosystem and system software architecture. With a targeted charter to enable best-in-class datacenter-scale performance and efficiency for our next generation of datacenter products, including CPUs and CPU+GPU Superchips.

What you will be doing:

  • Design, develop, test, and optimize software for our next-generation SoCs. In both pre-silicon and post-silicon phases of execution.

  • Review architectural performance bottlenecks for various system wide work loads. Identify HW/SW policies to drive performance and performance/watt leadership.

  • Using strong communication skills, build and drive architecture, analysis documents and communications to internal and/or external audiences about our technology.

  • Competitive analysis comparing uArchitecture & workload performance metrics on NVIDIA's ARM SoCs against emerging processors from other silicon vendors.

  • Influence and drive full-stack adoption of performance optimizations and best practices across NVIDIA SW products & OSS SDKs

What we need to see:

  • BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience).

  • 6+ years of relevant computer architecture or SW development experience.

  • Proven leadership skills and strong ownership on past projects.

  • Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs.

  • Strong understanding of multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming.

  • Strong stills in performance analysis, data analysis and performance optimization.

  • Strong use of linux perf tool, application/library performance optimizations.

Ways to stand out from the crowd:

  • Deep expertise in ARM architecture and SW ecosystem.

  • Proficient in analyzing, debugging and tuning performance of complex system software stacks.

  • Experience with CPU server system workloads and performance analysis.

  • Familiarity with CUDA programming and/or GPUs.

  • Experience with HPC or large-scale computing environments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 30, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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